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Our team develops, implements, and maintains recommendation and personalization algorithms for Disney Streaming's suite of streaming video apps, notably Disney+ and Hulu. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes.
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Machine Learning | Physics | Embedded Systems | Signal Processing | Data Analysis | Nvidia | Electrical Engineering | Cloud Computing | Cuda | TensorRT | Radio Frequency | Transmission Processing | Linux OS | Pytorch | Python | Causal Inference.
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Advanced data analytics – designing and building solutions using technologies such as Azure Data Factory, Azure Data Lake, HD Insights, SQL DWH, Stream Analytics, Machine Learning, R Server, Synapse, Azure Machine Learning (AML), Azure Kubernetes Service (AKS) for model deployments, Vector and Retrieval-Augmented Generation (RAG) implementation.
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Hands on experience in data engineering desired with extensive knowledge of SQL and PySpark, on Databricks Platform. Hands on experience designing, building, and optimizing data pipelines, architecture for large scale data warehousing projects.
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Stay current with emerging trends and technologies in the data engineering field, incorporating them into the organization's data strategy. 8+ years of experience in data engineering or full-stack quantitative analytics/data science roles.
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Experience managing and analyzing large data sets using data science tools such as artificial intelligence and machine learning. Major or minor of studies in a field of Quantitative Finance, Financial Engineering, or a related technical field that blends advanced quantitative methods with finance and economics is a plus.
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To build a world-class research program for AI- and data-driven innovation in human health, the AI Department is seeking five (5) outstanding candidates for early-career faculty positions at Instructor level with an excellent track record in artificial intelligence, and machine learning to join its faculty as a Eric and Wendy Schmidt AI in Human Health Fellow in 2024.
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Minimum Qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, Engineering, or a related fieldAt least 3 years of experience as a Data Scientist, with a focus on developing and deploying machine learning models in production environmentsStrong programming skills in at least one language (Python, SQL, Spark, C.
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Click Therapeutics continuously expands and refines its platform with novel cognitive, behavioral and neuromodulatory mechanisms of action and advanced data-driven tools such as artificial intelligence and machine learning.
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Eli Lilly and Company seeks a Scientist (R2-R4) to support the validation of novel therapeutic candidates, perform hands-on bench level assays involving cell culture of cell lines and patient-derived cells, conduct tissue-based work, processing and analyzing samples from in vivo animal studies.
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We have a need for providers open to offering in-person and/or telehealth services, in a local, state/multi-state, or nationwide capacity depending on your goals and licensure.
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5+ years of hands-on business intelligence experience, working in a customer-facing technical role (customer success, consulting or pre-sales) As an Onboarding Manager, you will be responsible for guiding new customers on implementing their first use case in Sigma, and getting them trained along the way.
$119,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Strong hands-on experience engineering in DevOps Drupal, partner with architecture to finalize Drupal solutions. Strong hands-on experience in Drupal. Daily Tasks: Skills in nutshellDrupal, PHP, Angular, Express with Angular Universal, NodeJS Monitoring (PM2), SOLR, Java, AWS Cloud Engineering, AWS Cloud Services, Route 53, Load Balancers, EC2, Acquia CloudAutoscaling groups, Mem Cache, Secrets Manager, CloudFront, Code Deploy, Code Pipeline, VPC, CloudFormation, IAM,Secuirty Groups, S3, CloudWatch, EFS, WebSphere Portal,Ansible, Apache, Ngnix, NodeJS, Varnish, Jenkins, Terraform, LSyncD, Bash Scripting, Splunk.
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We are a global leader in HR technology, offering the latest AI and machine learning-enhanced payroll, tax, HR, benefits, and much more. Responsibilities include protecting company and client data from exploitation or misuse, leading the design and implementation of data security and privacy policies, identifying weak control areas and engineering relevant mitigating controls, and mitigating operational risks associated with data in motion and at rest.
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Must include one year of experience in each of the following: (1) working with complex data structures and large datasets in a real business setting; (2) utilizing SAS, SQL, Excel, VBA, PPT, Tableau, Visio, MARS and CART software; (3) delivering oral and written data analytics presentations to clients, senior managers and executives; (4) big data processing, data extraction, and variable reduction; and (5) managing analytics projects with global resources.
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hands on machine learning data engineering in person jobs in Jersey City, NJ
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